| Pre-trained models: Past, Present and Future X Han*, Z Zhang*, N Ding*, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... AI Open, 2021 | 635 | 2021 |
| Parameter-efficient Fine-tuning of Large-scale Pre-trained Language Models N Ding, Y Qin, G Yang, F Wei, Z Yang, Y Su, S Hu, Y Chen, CM Chan, ... Nature Machine Intelligence, 2023 | 457* | 2023 |
| PTR: Prompt Tuning with Rules for Text Classification X Han, W Zhao, N Ding, Z Liu, M Sun Preprint, 2022 | 404 | 2022 |
| Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification S Hu, N Ding, H Wang, Z Liu, J Li, M Sun ACL 2022, 2022 | 299 | 2022 |
| OpenPrompt: An Open-Source Framework for Prompt-Learning N Ding, S Hu, W Zhao, Y Chen, Z Liu, HT Zheng, M Sun ACL 2022, Best System Demonstration Paper Award, 2021 | 231 | 2021 |
| Few-NERD: A Few-Shot Named Entity Recognition Dataset N Ding, G Xu, Y Chen, X Wang, X Han, P Xie, HT Zheng, Z Liu ACL 2021, 2021 | 184 | 2021 |
| Tool Learning with Foundation Models Y Qin, S Hu, Y Lin, W Chen, N Ding, G Cui, Z Zeng, Y Huang, C Xiao, ... Preprint, 2023 | 182 | 2023 |
| Enhancing Chat Language Models by Scaling High-quality Instructional Conversations N Ding, Y Chen, B Xu, Y Qin, Z Zheng, S Hu, Z Liu, M Sun, B Zhou EMNLP 2023, 2023 | 142 | 2023 |
| Prompt-learning for Fine-grained Entity Typing N Ding, Y Chen, X Han, G Xu, P Xie, HT Zheng, Z Liu, J Li, HG Kim EMNLP 2022 Findings, 2021 | 125 | 2021 |
| Modeling Relation Paths for Knowledge Graph Completion Y Shen, N Ding, HT Zheng, Y Li, M Yang TKDE, 2020 | 120 | 2020 |
| CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding D Wang*, N Ding*, P Li, HT Zheng ACL 2021, 2021 | 115 | 2021 |
| Chinese Relation Extraction with Multi-Grained Information and External Linguistic Knowledge Z Li*, N Ding*, Z Liu, H Zheng, Y Shen ACL 2019, 2019 | 97 | 2019 |
| UltraFeedback: Boosting Language Models with High-quality Feedback G Cui, L Yuan, N Ding, G Yao, W Zhu, Y Ni, G Xie, Z Liu, M Sun ICML 2024, 2023 | 83 | 2023 |
| Hierarchy-aware Global Model for Hierarchical Text Classification J Zhou, C Ma, D Long, G Xu, N Ding, H Zhang, P Xie, G Liu ACL 2020, 2020 | 83 | 2020 |
| Prototypical Verbalizer for Prompt-based Few-shot Tuning G Cui, S Hu, N Ding, L Huang, Z Liu ACL 2022, 2022 | 80 | 2022 |
| Event Detection with Trigger-Aware Lattice Neural Network N Ding, Z Li, Z Liu, H Zheng, Z Lin EMNLP 2019, 2019 | 73 | 2019 |
| KoLA: Carefully Benchmarking World Knowledge of Large Language Models J Yu, X Wang, S Tu, S Cao, D Zhang-Li, X Lv, H Peng, Z Yao, X Zhang, ... ICLR 2024, 2023 | 63 | 2023 |
| Prototypical Representation Learning for Relation Extraction N Ding, X Wang, Y Fu, G Xu, R Wang, P Xie, Y Shen, F Huang, HT Zheng, ... ICLR 2021, 2021 | 54 | 2021 |
| Pre-trained models: Past, Present and Future. AI Open. X Han, Z Zhang, N Ding, Y Gu, X Liu, Y Huo, J Qiu, Y Yao, A Zhang, ... | 52* | 2021 |
| Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning Y Qin, X Wang, Y Su, Y Lin, N Ding, Z Liu, J Li, L Hou, P Li, M Sun, J Zhou Preprint, 2021 | 46* | 2021 |
Zhiyuan LiuAssociate Professor, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
